Regression Analysis

Regression analysis:

Introduction:

An increase in employee benefits is likely to increase job satisfaction levels, the AIU data set contains intrinsic, overall and extrinsic variables that measure employee satisfaction, using the benefits variable as the independent variable models that show the relationship between benefits and the job satisfaction variables are estimated. it is expected that as benefits increase then all the other variables will increase, meaning that when employees are satisfied with benefits such as wages and salaries then their satisfaction is likely to increase, therefore increasing benefits satisfaction will increase satisfaction levels.1. 1.Benefits variable versus intrinsic variable:

In this model the intrinsic variable is set as the dependent variable while the benefit variable is set as the independent variable, the estimated model take the form Yi = B0 + B1X where Y is intrinsic and X is benefits, it is expected that the value of B1 will be positive given that as benefits variable increase the intrinsic variable also increases, the following is a summary of the excel output. (Stuart, 1998)

2. Benefits variable versus extrinsic variable:

The extrinsic variable is set as the dependent variable while the benefit variable is set as the independent variable, the estimated model take the form Yi = B0 + B1X where Y is extrinsic and X is benefits, the following is a summary of the excel output

3. Benefits variable versus the overall variable:

For this model the overall variable is set as the dependent variable while the benefit variable is set as the independent variable, the estimated model take the form Yi = B0 + B1X where Y is overall and X is benefits, the following is a summary of the excel output